API models · Side by side

Grok 4.7 vs Claude Sonnet 5.5

Grok 4.7 and Claude Sonnet 5.5 both work with text and images. Grok has the lower base output price; Sonnet has twice the context allowance. For a coding assistant or document tool, the length of each request can change which costs less.

The short answer

Consider Grok for shorter requests where output cost matters. Sonnet gives a large document collection more room and avoids the long-prompt price increase shown for Grok. If you need web or X search, compare the actual tool integration as well as the model.

Estimate your monthly bill

Enter your own usage. We apply each model's current rates, including long-prompt pricing, for a 30-day month.

Try:
Grok 4.7$210.00per month
Claude Sonnet 5.5$270.00per month

A token is roughly three-quarters of an English word. Cached input, reasoning tokens, tools and media are not included.

Compare the details

Compare context, supported inputs and usage costs. Highlighted rows show a difference.

Grok 4.7 vs Claude Sonnet 5.5 specifications
FeatureGrok 4.7Claude Sonnet 5.5
Input formatsfile, image, textfile, image, text
Output formatstexttext
Context / position limit500,0001,000,000
Endpoint output limit (tokens)450,000128,000
Developer featuresReasoning output, logprobs, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Stop sequences, Structured output, Temperature, Tool selection, Tool calling, top k, top logprobs, Sampling controlsReasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Stop sequences, Structured output, Tool selection, Tool calling, Response length
Cached input / 1M tokens$0.50$0.10
Cache write / 1M tokensUnknown$2.50
USD input / 1M tokens$2.00$2.00
USD output / 1M tokens$6.00$10.00
Available API providers25
Best provider uptime, last 24 h100%100%
Model identifierx-ai/grok-4.7anthropic/claude-sonnet-5.5

API pricing

Prices are in USD per million tokens. Input is what you send; output is what the model generates. Chat subscriptions and API usage are billed separately.

Grok 4.7: long-prompt rates
  • Long-prompt threshold: 200,000 prompt tokens. Input: $4.00 / 1M. Output: $12.00 / 1M.

Tools, images and additional reasoning can add charges. The examples below cover input and output tokens only.

Compare local models

What those prices mean in practice

Each example uses the same token budget for both models. These are calculations, not measured workloads. Cache discounts, media, tools and extra reasoning are excluded.

Token cost examples
WorkloadGrok 4.7Claude Sonnet 5.5
1,000 short requestsPer request: 2,000 input + 500 output tokens$7.00$9.00
100 document summariesPer request: 20,000 input + 1,000 output tokens$4.60$5.00
10 long-document requestsPer request: 300,000 input + 2,000 output tokens$12.24$6.20

Estimate = requests × (input tokens × input price + output tokens × output price) ÷ 1,000,000. Long-prompt rates are applied where the pricing data provides them. Real requests can use different amounts of output.

Beyond the price tag

Short replies and long reports have different bills

At the base rates, both charge $2 per million input tokens. Grok charges $6 per million output tokens against Sonnet’s $10. For 1,000 requests with 2,000 input tokens and a 500-token answer each, that comes to $7 and $9. The saving grows with reply length, provided the request stays in the base pricing tier.

A large prompt can reverse that saving

Grok’s higher prompt tier starts at 200,000 input tokens in the pricing used here. A 300,000-token prompt with a 2,000-token reply costs about $1.22 on Grok and $0.62 on Sonnet. These examples exclude caching and extra tools. Use the calculator for the size of each individual request; a month’s combined input does not trigger a long-prompt tier by itself.

Sonnet leaves more room for documents

Grok allows 500,000 context tokens; Sonnet allows 1,000,000. This matters when a repository, conversation and supporting documents must travel together. For smaller tasks, loading everything can waste money and bury the relevant material. Select the files the task needs, and leave room for the response rather than filling the whole allowance with input.

Search is a service feature you must connect

Grok’s developer API supports web search, X search and code execution. Selecting Grok in another application does not automatically switch those tools on. Decide whether the assistant needs current web material or only the documents you supply, then confirm which tools your chosen service exposes and charges for. This is especially relevant to a research assistant that must return traceable answers.

For code, look at the finished change

A useful coding comparison starts with the same issue, repository and allowed tools. Can the assistant make the change without breaking another requirement? Does it explain the edit clearly enough to review? Keep failed attempts in the cost calculation. The token-rate difference is easy to calculate; the value of an accepted patch needs evidence from the work you actually do.

Common questions

Is Grok 4.7 Fast included here?

No. This comparison uses the standard Grok 4.7 endpoint. The Fast service has different access arrangements and pricing.

Why might the output limit differ between services?

A hosting endpoint can set a reply limit even when the model developer describes no separate text-output cap. The table shows the limits supplied by the compared endpoints; the total context allowance still applies.